{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":3,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":3,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"bfbce365c511","filters":{"venue":"IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation"}},"results":[{"id":"W4414322403","doi":"10.1109/jsteap.2025.3610564","title":"Integrated Sensing and Communication (ISAC) Transceiver: Hardware Architectures, Enabling Technologies, and Emerging Trends","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation","topic":"Distributed Sensor Networks and Detection Algorithms","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Key (lock); Software; Noise (video); Reliability (semiconductor)","authors":[{"name":"Ke Wu","is_ca":true},{"name":"Yasser Bigdeli","is_ca":true},{"name":"Seyed Ali Keivaan","is_ca":true},{"name":"Jie Deng","is_ca":true},{"name":"Pascal Burasa","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007165701590000179,"gpt":0.2268043065046599,"spread":0.2196386049146598,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178546,0.0007753518,0.0006458782,0.001016073,0.0003830383,0.001590827,0.001675933,0.0009461981,0.005985411],"category_scores_gemma":[0.001016363,0.0002950646,0.0002985917,0.0009779497,0.0004570059,0.002128729,0.000920493,0.001556837,0.002264462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624446,"about_ca_system_score_gemma":0.001358758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001020017,"about_ca_topic_score_gemma":0.002306726,"domain_scores_codex":[0.9991189,0.00008448092,0.00003805145,0.0001703339,0.0004876744,0.0001005381],"domain_scores_gemma":[0.9989815,0.0001483518,0.000114664,0.0001195807,0.0005534363,0.00008245066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004317978,0.0004454007,0.004145279,0.001056921,0.0001295689,0.0001784099,0.000206056,0.007440766,0.2015889,0.07051297,0.03578612,0.6780778],"study_design_scores_gemma":[0.0001410009,0.003753543,0.007083372,0.0005748096,0.0004182339,0.003126714,0.0004190756,0.277753,0.2611738,0.02642553,0.4188633,0.0002676123],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.06812378,0.03729928,0.7947188,0.005477754,0.002627975,0.0004412631,0.0008376473,0.007449994,0.08302355],"genre_scores_gemma":[0.5280945,0.01504875,0.3961233,0.004326347,0.001977067,0.0003007865,0.001455318,0.000408495,0.05226535],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005985411,"threshold_uncertainty_score":0.02002317,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414166025","doi":"10.1109/jsteap.2025.3607855","title":"6G ISAC Enables Environment Object Reconstruction","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Grid; Object (grammar); Field (mathematics); Projection (relational algebra); 3D reconstruction; Standardization; Range (aeronautics); Key (lock)","authors":[{"name":"Guangjian Wang","is_ca":false},{"name":"Peiying Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006202544579827969,"gpt":0.1998467338316339,"spread":0.1936441892518059,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006329227,0.0009345302,0.0005339193,0.0006359481,0.0003613686,0.0009076343,0.0005860318,0.0007887908,0.003020322],"category_scores_gemma":[0.001484909,0.0002256798,0.0004125655,0.0006641992,0.0005134637,0.000951629,0.001431014,0.000964941,0.001720113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003208594,"about_ca_system_score_gemma":0.000631162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003067108,"about_ca_topic_score_gemma":0.005447218,"domain_scores_codex":[0.9993556,0.0001221026,0.00001355973,0.00007454622,0.0003334993,0.000100699],"domain_scores_gemma":[0.9993311,0.0001222372,0.00005094187,0.0002700678,0.0001852516,0.00004042316],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007703712,0.0002755694,0.01471543,0.0003127106,0.0001534699,0.001409698,0.0005938254,0.2595838,0.1295606,0.02617762,0.02886123,0.5375857],"study_design_scores_gemma":[0.0000534518,0.0002276797,0.004551645,0.00005885858,0.00003978707,0.0007376606,0.0001562746,0.9075619,0.04238552,0.007220633,0.03693683,0.00006982036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238,0.0004276558,0.8388503,0.0006604085,0.0003429096,0.0001692786,0.0006804118,0.00910035,0.02596884],"genre_scores_gemma":[0.7771081,0.0003038931,0.21614,0.0003883195,0.00006438747,0.00008914992,0.001242819,0.0003516096,0.00431164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003067108,"threshold_uncertainty_score":0.01010394,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4414008280","doi":"10.1109/jsteap.2025.3605881","title":"Design Considerations of OFDM Waveform for Millimeter-Wave Integrated Communication and Long-Range Sensing in High Mobility Channels","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Electromagnetics Antennas and Propagation","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Orthogonal frequency-division multiplexing; Waveform; Extremely high frequency; Electronic engineering; Range (aeronautics); Computer science; Channel (broadcasting); Telecommunications; Electrical engineering; Engineering; Aerospace engineering; Radar","authors":[{"name":"Seyed Ehsan Banialhosseini","is_ca":true},{"name":"Güneş Karabulut Kurt","is_ca":true},{"name":"Ke Wu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02356040608203189,"gpt":0.2385450617538633,"spread":0.2149846556718314,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002816941,0.000361962,0.0002022029,0.0002027786,0.0002299869,0.0005525814,0.0005054592,0.0005448428,0.001286886],"category_scores_gemma":[0.0006227033,0.0001297272,0.0001567081,0.0003078282,0.0001887242,0.000495501,0.0002027129,0.0004216225,0.0006738847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003577389,"about_ca_system_score_gemma":0.0004477428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003330583,"about_ca_topic_score_gemma":0.0005050481,"domain_scores_codex":[0.9997748,0.00005255635,0.00001398645,0.00002982577,0.0001074653,0.00002143221],"domain_scores_gemma":[0.9996309,0.00008252418,0.00007026228,0.00003689738,0.0001622288,0.00001710457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002348446,0.000111308,0.001804969,0.0006715505,0.00005125051,0.0006976078,0.0002540876,0.07550758,0.4819852,0.09128837,0.003882326,0.343511],"study_design_scores_gemma":[0.00006040017,0.00119855,0.002536231,0.000164816,0.00007394556,0.00241356,0.0001645311,0.7182269,0.1888909,0.01505841,0.07114513,0.00006672873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02218588,0.001085716,0.9670963,0.000482699,0.0001357049,0.00007248038,0.00004493188,0.0001605023,0.008735765],"genre_scores_gemma":[0.6282266,0.002170565,0.363488,0.0003268969,0.0002285532,0.0002286597,0.0001213795,0.00004638511,0.005163032],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001286886,"threshold_uncertainty_score":0.004305065,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}